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  <div class="section" id="deploy-deep-learning-models">
<span id="sphx-glr-how-to-deploy-models"></span><h1>Deploy Deep Learning Models<a class="headerlink" href="#deploy-deep-learning-models" title="永久链接至标题">¶</a></h1>
<p>TVM is capable of deploying models to a variety of different platforms. These
how-tos describe how to prepapre and deploy models to many of the supported
backends.</p>
<div class="sphx-glr-thumbcontainer" tooltip="This is an example of using Relay to compile a keras model and deploy it on Android device. "><div class="figure align-default" id="id1">
<img alt="../../_images/sphx_glr_deploy_model_on_android_thumb.png" src="../../_images/sphx_glr_deploy_model_on_android_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">在Android上部署预训练模型</span></a></span><a class="headerlink" href="#id1" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This is an example of using Relay to compile a ResNet model and deploy it on Raspberry Pi. "><div class="figure align-default" id="id2">
<img alt="../../_images/sphx_glr_deploy_model_on_rasp_thumb.png" src="../../_images/sphx_glr_deploy_model_on_rasp_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">在Raspberry Pi上部署预训练模型</span></a></span><a class="headerlink" href="#id2" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="For us to begin with, PyTorch should be installed. TorchVision is also required since we will b..."><div class="figure align-default" id="id3">
<img alt="../../_images/sphx_glr_deploy_object_detection_pytorch_thumb.png" src="../../_images/sphx_glr_deploy_object_detection_pytorch_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">编译PyTorch对象检测模型</span></a></span><a class="headerlink" href="#id3" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This is a tutorial on loading models quantized by deep learning frameworks into TVM. Pre-quanti..."><div class="figure align-default" id="id4">
<img alt="../../_images/sphx_glr_deploy_prequantized_thumb.png" src="../../_images/sphx_glr_deploy_prequantized_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">使用TVM部署一个框架预量化模型</span></a></span><a class="headerlink" href="#id4" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="Welcome to part 3 of the Deploy Framework-Prequantized Model with TVM tutorial. In this part, w..."><div class="figure align-default" id="id5">
<img alt="../../_images/sphx_glr_deploy_prequantized_tflite_thumb.png" src="../../_images/sphx_glr_deploy_prequantized_tflite_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">使用TVM部署预先量化的框架模型-第3部分（TFLite）</span></a></span><a class="headerlink" href="#id5" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This article is an introductory tutorial of automatic quantization with TVM. Automatic quantiza..."><div class="figure align-default" id="id6">
<img alt="../../_images/sphx_glr_deploy_quantized_thumb.png" src="../../_images/sphx_glr_deploy_quantized_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">在Cuda上部署一个量化模型</span></a></span><a class="headerlink" href="#id6" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This tutorial demonstrates how to take any pruned model, in this case `PruneBert from Hugging F..."><div class="figure align-default" id="id7">
<img alt="../../_images/sphx_glr_deploy_sparse_thumb.png" src="../../_images/sphx_glr_deploy_sparse_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">在CPU上部署Hugging Face Pruned模型</span></a></span><a class="headerlink" href="#id7" title="永久链接至图片">¶</a></p>
</div>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This article is an introductory tutorial to deploy SSD models with TVM. We will use GluonCV pre..."><div class="figure align-default" id="id8">
<img alt="../../_images/sphx_glr_deploy_ssd_gluoncv_thumb.png" src="../../_images/sphx_glr_deploy_ssd_gluoncv_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="deploy_ssd_gluoncv.html#sphx-glr-how-to-deploy-models-deploy-ssd-gluoncv-py"><span class="std std-ref">部署Single Shot Multibox Detector(SSD)模型</span></a></span><a class="headerlink" href="#id8" title="永久链接至图片">¶</a></p>
</div>
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</div>
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